Risk Attitudes and Other-Regarding Preferences: An Experimental Study

Last registered on June 29, 2019

Pre-Trial

Trial Information

General Information

Title
Risk Attitudes and Other-Regarding Preferences: An Experimental Study
RCT ID
AEARCTR-0004309
Initial registration date
June 12, 2019

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
June 29, 2019, 3:17 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Primary Investigator

Affiliation
Texas A&M University

Other Primary Investigator(s)

PI Affiliation
UCSC

Additional Trial Information

Status
On going
Start date
2019-05-28
End date
2021-08-31
Secondary IDs
Abstract
We study theoretically and empirically the interaction between risk attitudes and other-regarding preferences. An integrated model of risk attitudes and other-regarding preferences that extends the standard notion of inequity discount to lotteries was proposed in Lopez-Vargas (2014). In this model, a decision maker perceives inequity partly by comparing the marginal risks she and others face. The model predicts that fairness considerations will alter risk attitudes, in particular, a higher tolerance to positively correlated (fair) risks compared to negatively correlated (unfair) risks. Further, the model can explain the behavior by which people help others probabilistically (known as ex-ante fairness). Moreover, in contrast with the existing view of ex-ante fairness based on expected outcomes, the model does not imply that stronger ex-ante fairness behavior is associated with less risk sensitivity. We will study these predictions with evidence from an experiment. In a pilot, the primary findings were that subjects take more risks when outcomes are ex-post fair compared to when they are ex-post unfair. A second set of findings was that stronger ex-ante fairness behavior correlates with less sensitivity to risk. The findings would reject the implications of existing models. To generalizes, extend these prior findings, and test these models based on their predictions; we use a new individual-choice lab experiment.
External Link(s)

Registration Citation

Citation
Feldman, Paul and Kristian Lopez-Vargas. 2019. "Risk Attitudes and Other-Regarding Preferences: An Experimental Study." AEA RCT Registry. June 29. https://doi.org/10.1257/rct.4309-1.0
Former Citation
Feldman, Paul and Kristian Lopez-Vargas. 2019. "Risk Attitudes and Other-Regarding Preferences: An Experimental Study." AEA RCT Registry. June 29. https://www.socialscienceregistry.org/trials/4309/history/48919
Experimental Details

Interventions

Intervention(s)
This is a lab experiment on individual choice. The design is primarily within-subject, but between-subject comparisons were also considered. The experiment was run at UCSD's Economics laboratory. The subject pool consisted of undergrads, mostly, and all participants were over 18 years old.
Intervention Start Date
2019-05-28
Intervention End Date
2019-06-04

Primary Outcomes

Primary Outcomes (end points)
Risk and Other-regarding individual-level preferences.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Changes in risk preferences between different portfolio choice tasks and the correlation between risk attitudes and a preference for ex-ante fairness.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We elicited risk and social preferences using 4 types of convex-budget tasks to elicit risk and social preferences.
Experimental Design Details
We elicited risk and social preferences using 4 types of convex budget tasks. We utilized two types of portfolio choice problems---allocating wealth between two assets at different rates---as in Choi et al (2007). In the first, risks were positively correlated for an anonymous partner. In the second, risks were negatively correlated. We also used modified dictator games, as introduced by Andreoni and Miller (2002), were subjects allocate their wealth between themselves and others at different exchange rates. The final type of tasks has subjects `share' the chance between two outcomes, one that is more favorable to them and another that is more favorable to their partners. This task is similar to Karni et al (2008). Our design favors the parametric estimation of the proposed models.
Randomization Method
Resolution of uncertainty and whether subjects were `deciders' or `partners', only choices from the former got implemented and affected the latter, were done by the computer program.
Randomization Unit
Randomization is at the individual level. We also varied the task-type order, at the session level.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
166 subjects
Sample size: planned number of observations
168 subjects, +/- attrition.
Sample size (or number of clusters) by treatment arms
4 sessions with one order and 3 types with another order. Each session has up to 24 subjects.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
For differences in behavior across portfolio allocations, it is 1 token (33 cents). The higher standard errors are around 3 tokens and the pilot study had 55 subjects. For the correlation test, we use a correlation of .2 between the parameters that measure risk and social preferences. All tests assume a 5% significance level and 80% for the power of the test.
IRB

Institutional Review Boards (IRBs)

IRB Name
UCSC OFFICE OF RESEARCH COMPLIANCE ADMINISTRATION
IRB Approval Date
2016-04-05
IRB Approval Number
UCSC IRB Protocol # 2613
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials